Health Data, Information and Knowledge
Subject ISYS90078 (2016)
Note: This is an archived Handbook entry from 2016.
Credit Points: | 12.5 | ||||||||||||
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Level: | 9 (Graduate/Postgraduate) | ||||||||||||
Dates & Locations: | This subject has the following teaching availabilities in 2016: Semester 2, Parkville - Taught on campus.
Timetable can be viewed here. For information about these dates, click here. | ||||||||||||
Time Commitment: | Contact Hours: 36 hours Total Time Commitment: 200 hours | ||||||||||||
Prerequisites: | Subject Study Period Commencement: Credit Points: | ||||||||||||
Corequisites: | None | ||||||||||||
Recommended Background Knowledge: | None | ||||||||||||
Non Allowed Subjects: | None | ||||||||||||
Core Participation Requirements: |
For the purposes of considering request for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Student Support and Engagement Policy, academic requirements for this subject are articulated in the Subject Overview, Learning Outcomes, Assessment and Generic Skills sections of this entry. It is University policy to take all reasonable steps to minimise the impact of disability upon academic study, and reasonable adjustments will be made to enhance a student's participation in the University's programs. Students who feel their disability may impact on meeting the requirements of this subject are encouraged to discuss this matter with a Faculty Student Adviser and Student Equity and Disability Support: http://services.unimelb.edu.au/disability |
Subject Overview: |
Aims This subject develops familiarity with fundamental aspects of health information science and health information management – how health data is generated, collected, stored, communicated, integrated, analysed and converted into knowledge for clinical, research and administrative purposes. Indicative Content Lectures and tutorials will cover five topics:
2. Information Modelling in Health
3. Information Processing in Health
4. Information Analysis and Visualization in Health
5. Change Management in Health IT
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Learning Outcomes: |
Intended Learning Outcomes (ILOs) On completion of this subject the student is expected to:
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Assessment: |
Hurdle requirement: to pass the subject, students must obtain:
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Prescribed Texts: | None |
Breadth Options: | This subject is not available as a breadth subject. |
Fees Information: | Subject EFTSL, Level, Discipline & Census Date |
Generic Skills: |
On completion of this subject, students should have developed the following generic skills:
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Notes: |
Learning and Teaching Methods This subject is offered asone 3-hour block of two 1- hour lectures plus one 1- hour tutorial per week over 12 weeks. Subject documents and class records are handled using LMS Blackboard. Indicative Key Learning Resources This subject has no textbook. Students have access to lecture audio and slides in the LMS, as well as electronic full-text of recommended readings, including current journal articles, government documents and industry reports. 2012 examples of recommended readings are: Cohen, A., Adams, C., Davis, J., Yu, C., Yu, P., Meng, W., Duggan, L., McDonagh, M., & Smalheiser, N. (2010). Evidence-based medicine, the essential role of systematic reviews, and the need for automated text mining tools. Pp. 376-380. In Proceedings of IHI’10, November 11-12 2010, Arlington Virginia USA. Collen, M. (2012). Computer Medical Databases: The First Six Decades (1950-2010). Springer, London. Ferlie, E., Crilly, T., Jashapara, A., & Peckham, A. (2012). Knowledge mobilization in healthcare: A critical review of health sector and generic management literature. Social Science & Medicine 74, 1297-1304. Musen, M., Noy, N., Shah, N., Whetzel, P., Chute, C., Story, M.-A., Smith, B. & the NCBO team. (2012). The National Center for Biomedical Ontology. Journal of the American Medical Informatics Association, 19, 190-195. Shilton, K. (2012). Participatory personal data: An emerging research challenge for the information sciences. Journal of the American Society for Information Science and Technology, [in press 34pp.] Careers/Industry Links This subject is important in the field of eHealth and biomedical informatics, i.e. work that concerns the acquisition, storage, retrieval and use of information in, about and for human health, and the design and management of related solutions to advance the understanding and practice of healthcare. This subject is offered jointly by the Faculty of Engineering and the Faculty of Medicine, Dentistry and Health Sciences, and also uses expert guest speakers from industry and government. In particular, this subject addresses the core components of major national and international certification programs such as the Health Information Management and Systems Society (HIMSS) and the Certified Health Information Australasia (CHIA). |
Related Course(s): |
Doctor of Philosophy - Engineering Master of Information Systems Master of Information Systems Master of Information Systems Master of Information Technology Master of Philosophy - Engineering |
Related Majors/Minors/Specialisations: |
MIS Professional Specialisation MIS Research Specialisation MIT Health Specialisation |
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